This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement.
Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data.
Key features include:
* Analytics in Practice vignettes show how data and analytics have been applied in real organisations
* Video interviews with industry professionals bring examples to life
* A running case study and accompanying dataset allow you to apply what you have learnt
Suitable for undergraduate and postgraduate students studying business analytics.
Mary Ellen Gordon is Senior Professional Teaching Fellow/Senior Lecturer in the School of Information Systems at the Victoria University of Wellington, New Zealand.
By:
Mary Ellen Gordon
Imprint: Sage Publications Ltd
Country of Publication: United Kingdom
Dimensions:
Height: 232mm,
Width: 186mm,
Weight: 450g
ISBN: 9781529796117
ISBN 10: 1529796113
Pages: 240
Publication Date: 29 June 2023
Audience:
College/higher education
,
Primary
Format: Paperback
Publisher's Status: Unspecified
Chapter 1: How Data And Analytics Can Enhance Human Decision-Making In Organisations Chapter 2: Why Organisational, Legal, Cultural, And Ethical Considerations Shape What Can And Should Be Done With Data And Analytics Chapter 3: Preparing To Work With Data Chapter 4: Analysis Fundamentals Chapter 5: Communicating Analytical Results Chapter 6: Marketing Analytics Chapter 7: HR / People Analytics Chapter 8: Operational Analytics Chapter 9: Financial Analytics Chapter 10: The Future Of Data And Analytics
Mary Ellen Gordon is a Senior Professional Teaching Fellow and brings a wealth of industry experience of working in business analytics in organisations, including Apple.